10 Common Mistakes When Choosing a Database for Your MVP

Choosing the right database for your MVP can feel like navigating a minefield. With so many options and opinions out there, it’s easy to make decisions that seem smart at first but turn into headaches later. In 2026, as more founders launch their side projects, it's crucial to avoid common pitfalls that can derail your progress. Here are ten mistakes we’ve seen indie hackers make, along with our honest take on each.

1. Ignoring Your Use Case

What it is: Many founders choose a database based on popularity rather than their specific needs.

Our take: We’ve tried several databases and found that understanding your use case is essential. If you’re building a data-heavy application, a NoSQL database might be more suitable than a relational one.

Key Takeaway:

Choose a database that aligns with your MVP’s requirements, not just what’s trending.

2. Underestimating Scalability

What it is: Founders often select a database that works for their current user base but fails to scale effectively.

Our take: We started with SQLite for a simple project, but as we grew, we hit performance issues with concurrent users.

Pricing Consideration:

Some databases, like Firebase, can get expensive as you scale.

Key Takeaway:

Think about your scaling plan from the start.

3. Overlooking Community Support

What it is: Some databases have limited community support, making troubleshooting tough.

Our take: We’ve faced challenges with lesser-known databases that didn’t have robust community forums. Opt for databases with active communities, like PostgreSQL or MongoDB.

Key Takeaway:

Choose a database with strong community support for better troubleshooting.

4. Not Evaluating Performance Metrics

What it is: Many founders neglect to assess how well a database performs under load.

Our take: Before committing, we ran benchmarks on different databases to see how they handled our expected traffic.

Key Takeaway:

Evaluate performance metrics based on your anticipated load.

5. Forgetting About Data Security

What it is: Security features often take a backseat during database selection.

Our take: We learned the hard way when we had to patch security holes in a database we didn’t thoroughly vet.

Key Takeaway:

Prioritize databases with built-in security features, especially if handling sensitive data.

6. Choosing Complexity Over Simplicity

What it is: Founders sometimes opt for complex database solutions when simpler ones would suffice.

Our take: We initially went with a highly complex setup that required extensive maintenance. A simpler solution would have allowed us to focus on building features instead.

Key Takeaway:

Start simple and add complexity as needed.

7. Ignoring Cost

What it is: Cost considerations often come too late in the decision-making process.

Our take: We’ve seen databases that seem affordable at first but become pricey as usage grows.

Pricing Breakdown:

| Database | Pricing | Best For | Limitations | Our Take | |------------------|----------------------------------|--------------------|----------------------------------|------------------------------| | PostgreSQL | Free | General-purpose | Steeper learning curve | Great for complex queries | | MongoDB | Free tier + $25/mo | Document storage | Limited joins | Flexible schema, good for MVP| | Firebase | Free tier + pay-as-you-go | Real-time apps | Can get expensive at scale | Good for rapid prototyping | | MySQL | Free | Relational data | Less flexible than NoSQL | Solid choice for small apps | | Supabase | Free tier + $25/mo | Postgres alternative| Newer, less mature | We use it for quick setups | | Amazon DynamoDB | $1.25 per WCU and RCU | Large-scale apps | Complex pricing structure | Powerful but costly | | Redis | Free tier + $60/mo | Caching solutions | Not a primary database | Great for performance boosts | | SQLite | Free | Lightweight apps | Not suitable for heavy loads | Good for local dev |

Key Takeaway:

Always consider the long-term cost of your database choice.

8. Not Planning for Data Migration

What it is: Founders sometimes forget that they might need to switch databases later.

Our take: We didn’t plan for data migration when we started, and switching was a nightmare.

Key Takeaway:

Choose databases with easy migration paths if you need to pivot later.

9. Overlooking Vendor Lock-in

What it is: Some cloud databases can lock you into their ecosystem, making it hard to switch.

Our take: We’ve been stuck with a vendor that made it difficult to migrate our data.

Key Takeaway:

Consider open-source options or those with straightforward export capabilities.

10. Skipping Testing

What it is: Many founders launch without thoroughly testing their database under realistic conditions.

Our take: We learned the importance of testing when our app crashed due to unexpected database load.

Key Takeaway:

Always stress-test your database before going live.

Conclusion

When choosing a database for your MVP in 2026, avoid these common mistakes. Start with a clear understanding of your needs, prioritize scalability and security, and always think about the long-term implications of your choice.

Start Here:

If you’re unsure where to begin, we recommend looking into PostgreSQL for its balance of features and community support, or Firebase for quick iterations on real-time apps.